JupyterLite vs JupyterLab
This page explains the differences between JupyterLite and JupyterLab - and which environment would be right for you.
High Level
| JupyterLite | JupyterLab |
|---|---|
| Fast Startup Time | Slow Startup Time |
| Responsive UI | Less Responsive UI |
| 90% Libraries Compatible | 99% Libraries Compatible |
| Good Runtime Performance | Best Runtime Performance |
When should you use JupyterLite?
In general, we recommend authors use JupyterLite:
- For the learner's best experience
- If all required libraries are compatible.
- Check JupyterLite - Supported Libraries and JupyterLite - Unsupported or Partially Supported Libraries for details.
- If you do not have highly cpu-intensive code.
- Check JupyterLite - Additional Caveats for details.
- If you are not using large (>100MB+) datasets.
- Check JupyterLite - Additional Caveats for details.
- If you are not using libraries that must connect to the internet to work.
- Check JupyterLite - Unsupported or Partially Supported Libraries for details and JupyterLite - Downloading Data for workarounds that might work for you.
When should you use JupyterLab?
We recommend authors use JupyterLab:
- Required libraries are incompatible with JupyterLite.
- CPU-intensive cells take too long in JupyterLite.